Overview
On Site
Depends on Experience
Contract - W2
Contract - Independent
Contract - 2 Month(s)
No Travel Required
Able to Provide Sponsorship
Skills
Microsoft Azure: ADLS Gen2
Blob Storage
SQL
Data Catalog
Data Factory
KeyVault
Azure AD
Azure SQL
Databricks. Experience with Python
Job Details
In Digital Labs, we develop innovative member and team member experiences that leverage the latest technologies in open source and the Cloud. Digital Information Management (DIM) is a team of engineers committed to championing a data-driven decision-making culture and meeting the business demand for timely insight-focused analytics and information delivery.
You will be working with all levels of technology from backend data processing technologies (Spark R), Cloud computing technologies and Azure Data Platform. You should be a strong analytical thinker, detail-oriented and love working with data with a strong background in data engineering and application development. Must be a hand-on technologist passionate about learning new technologies and help improve the ways we can better leverage Advanced Analytics and Machine Learning.
Specific Duties
Build end-to-end direct capabilities.
Create and maintain optimal data pipeline architecture.
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
Use analytics for capitalizing on the data for making decisions and achieving better outcomes for the business.
Derive insights to differentiate member and team member experiences.
Collaborate with cross-functional teams.
Analyze and define with product teams the data migration and data integration strategies.
Apply experience in analytics, data visualization and modeling to find solutions for a variety of business and technical problems.
Querying and analyzing small and large data sets to discover patterns and deliver meaningful insights.
Integrate source systems with information management solutions and target systems for automated migration processes.
Create proof-of-concepts to demonstrate viability of solutions under consideration.
Specific Qualifications
Bachelor's degree in computer science, information systems, or other technology-related field or equivalent number of years of experience.
Solid foundation in data structures, algorithms, design patterns and strong analytical and problem-solving skills.
3+ years professional work experience in IT related to Data Management and Data Migration activities
2+ years of strong experience with cloud services (Azure preferred)
Experience with any of the following Analytics and Information Management competencies: Data Management and Architecture, Performance Management, Information Delivery and Advance Analytics
Experience with following from Microsoft Azure: ADLS Gen2, Blob Storage, SQL, Data Catalog, Data Factory, KeyVault, Azure AD, Azure SQL, Databricks.
Experience with Python
You will be working with all levels of technology from backend data processing technologies (Spark R), Cloud computing technologies and Azure Data Platform. You should be a strong analytical thinker, detail-oriented and love working with data with a strong background in data engineering and application development. Must be a hand-on technologist passionate about learning new technologies and help improve the ways we can better leverage Advanced Analytics and Machine Learning.
Specific Duties
Build end-to-end direct capabilities.
Create and maintain optimal data pipeline architecture.
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
Use analytics for capitalizing on the data for making decisions and achieving better outcomes for the business.
Derive insights to differentiate member and team member experiences.
Collaborate with cross-functional teams.
Analyze and define with product teams the data migration and data integration strategies.
Apply experience in analytics, data visualization and modeling to find solutions for a variety of business and technical problems.
Querying and analyzing small and large data sets to discover patterns and deliver meaningful insights.
Integrate source systems with information management solutions and target systems for automated migration processes.
Create proof-of-concepts to demonstrate viability of solutions under consideration.
Specific Qualifications
Bachelor's degree in computer science, information systems, or other technology-related field or equivalent number of years of experience.
Solid foundation in data structures, algorithms, design patterns and strong analytical and problem-solving skills.
3+ years professional work experience in IT related to Data Management and Data Migration activities
2+ years of strong experience with cloud services (Azure preferred)
Experience with any of the following Analytics and Information Management competencies: Data Management and Architecture, Performance Management, Information Delivery and Advance Analytics
Experience with following from Microsoft Azure: ADLS Gen2, Blob Storage, SQL, Data Catalog, Data Factory, KeyVault, Azure AD, Azure SQL, Databricks.
Experience with Python
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